Welcome to the third part of series posts. In previous post, I discussed about the data points which we require to perform predictive analysis. In this post I will discuss about the solution approach along with required methodology and its implementation in R. Before we move ahead in this part, let us recall the prediction […]

Since we know it’s the time for parallel computation to tackle large amount of dataset, we will require Apache Hadoop (here the name is derived from Elephant). As Apache Hadoop is the top most contributed Apache project, more and more features are implemented as well as more and more bugs are getting fixed in new […]

Welcome to last part of the series post again! In previous part I discussed about the solutions to the questions mentioned in first part. In this part, we will implement whole scenario using R and MySQL together and see how we can process bigdata(computationally ) Let us recall those questions and summarize their answers to […]

Welcome to the second part of the series blog posts. In first part we tried to understand the challenges of fitting predictive model to the large dataset. In this post I will discuss about the solution approach to that challenges. Let’s start rolling. As machine learning technique requires accessing whole dataset for fitting model on […]

Wellcome to the series blog posts. Since long time, I am writing post on Machine learning with R. Today I am gonna discuss on big data problem while fitting machine learning on it and its solution using MySQL and R. Before we jump directly to solution, let us discuss about big data little bit. (You […]

Earlier we completed with Mongodb aggregation , examples and shell queries.Still this time I have something thing to share.We learned aggregation queries and its bit easier while writing in to the mongo shell because initially we learned it via shell.But while implementing some application we need to convert it into the appropriate programming language. This […]

Welcome to Pingax-MongoDB Series again.My previous post MongoDB aggregation Framework has introduced you with aggregation framework of MongoDB , I explained few of the aggregation operators and examples. This post is an extended post of the previous and I am going to explain few more mongodb aggregation examples and operators. $push $push operator is used to […]

Welcome to the Pingax-Mongodb series.Hope you liked my previous posts and its going a good learning experience.So as we have gone through most of the important basics of Mongodb , this time I am presenting MongoDB aggregation framework. Mostly you all people are aware with the sql aggregation functions and also you have used it […]

Welcome to the post! Pattern recognition is nearly synonymous with machine learning. This branch of artificial intelligence focuses on the recognition of patterns and regularities in data. In many cases, these patterns are learned from labeled “training” data (supervised learning), but when no labeled data are available other algorithms can be used to discover previously […]

Welcome to this blog post. In previous posts I discussed about the linear regression and logistic regression in detail. We used Andrew NG’s ML class dataset to fit linear regression and logistic regression. We also discussed about step by step implementation in R along with cost function and gradient descent. In this post I will […]